The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Numbers as on EOD 

## [1] "2020-12-05"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "66540034 (up from 65899441 yesterday: 0.97 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "1528868 (up from 1518670 yesterday: 0.67 % increase)"

Overall Confirmed Cases Count Worldwide in the past 21 Days 

## [1] 12471250

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 2.3



In- Depth Country Wise Stats (With Atleast 100000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 14581337 213875 1.49 3663777 281186 2254 0.81 1.93
India 9644222 36011 0.37 829643 140182 482 0.35 1.45
Brazil 6577177 43209 0.66 728218 176628 664 0.38 2.69
Russia 2410462 28450 1.19 522626 42228 498 1.19 1.75
France 2334626 12923 0.56 330382 55073 214 0.39 2.36
United Kingdom 1710379 15579 0.92 362472 61111 397 0.65 3.57
Italy 1709991 21052 1.25 565439 59514 662 1.12 3.48
Spain 1684647 0 0.00 226056 46252 0 0.00 2.75
Argentina 1459832 5201 0.36 154986 39632 120 0.30 2.71
Colombia 1362249 9642 0.71 170615 37633 166 0.44 2.76
Germany 1183640 26126 2.26 383907 18839 262 1.41 1.59
Mexico 1168395 11625 1.00 165142 109456 593 0.54 9.37
Poland 1054273 12427 1.19 363155 19861 502 2.59 1.88
Iran 1028986 12151 1.19 279461 50016 321 0.65 4.86
Peru 970860 3785 0.39 38210 36195 119 0.33 3.73
Ukraine 822985 14157 1.75 282392 13877 236 1.73 1.69
South Africa 810449 4645 0.58 61267 22067 104 0.47 2.72
Turkey 797893 31896 4.16 386838 14705 196 1.35 1.84
Belgium 589942 2503 0.43 58662 17254 112 0.65 2.92
Indonesia 569707 6027 1.07 106700 17589 110 0.63 3.09
Iraq 562520 1898 0.34 45605 12411 24 0.19 2.21
Netherlands 559716 6676 1.21 110215 9743 39 0.40 1.74
Chile 558668 1533 0.28 28992 15592 34 0.22 2.79
Czechia 544179 1773 0.33 85950 8815 77 0.88 1.62
Romania 508345 8072 1.61 155160 12186 134 1.11 2.40
Bangladesh 475789 1798 0.38 45293 6807 35 0.52 1.43
Philippines 438069 1724 0.40 31732 8526 17 0.20 1.95
Pakistan 416499 3308 0.80 59595 8361 58 0.70 2.01
Canada 412543 6354 1.56 117404 12607 88 0.70 3.06
Morocco 376738 4118 1.11 88527 6184 48 0.78 1.64
Saudi Arabia 358526 190 0.05 5576 5954 14 0.24 1.66
Switzerland 344497 0 0.00 87362 5324 31 0.59 1.55
Israel 343826 1725 0.50 20363 2909 13 0.45 0.85
Portugal 318640 6087 1.95 107374 4876 73 1.52 1.53
Austria 300689 3444 1.16 102398 3757 106 2.90 1.25
Sweden 278912 0 0.00 101557 7067 0 0.00 2.53
Hungary 243581 5525 2.32 106858 5706 193 3.50 2.34
Nepal 239885 1024 0.43 31586 1577 10 0.64 0.66
Jordan 237513 3160 1.35 96208 3010 50 1.69 1.27
Serbia 213843 6903 3.34 132757 1891 57 3.11 0.88
Ecuador 197391 909 0.46 17764 13756 60 0.44 6.97
Kazakhstan 179344 966 0.54 19588 2488 4 0.16 1.39
Panama 175907 2300 1.32 30598 3173 19 0.60 1.80
United Arab Emirates 175276 1214 0.70 26141 589 3 0.51 0.34
Japan 160870 2483 1.57 43757 2229 19 0.86 1.39
Bulgaria 160844 2037 1.28 63409 4729 79 1.70 2.94
Georgia 158154 5450 3.57 81496 1462 37 2.60 0.92
Dominican Republic 147655 975 0.66 14430 2345 2 0.09 1.59
Croatia 147454 4084 2.85 65610 2102 70 3.44 1.43
Bolivia 145492 167 0.11 2311 8992 5 0.06 6.18
Belarus 145279 1896 1.32 32409 1198 8 0.67 0.82
Kuwait 144164 247 0.17 7823 889 3 0.34 0.62
Costa Rica 143685 0 0.00 20462 1773 0 0.00 1.23
Azerbaijan 142323 4323 3.13 68894 1593 42 2.71 1.12
Armenia 140959 1267 0.91 25104 2309 32 1.41 1.64
Qatar 139783 140 0.10 4213 239 0 0.00 0.17
Lebanon 134295 0 0.00 30028 1078 0 0.00 0.80
Guatemala 125352 547 0.44 10633 4239 15 0.36 3.38
Oman 124329 0 0.00 4887 1435 0 0.00 1.15
Egypt 118014 431 0.37 7467 6750 18 0.27 5.72
Moldova 115557 1728 1.52 26785 2403 19 0.80 2.08
Slovakia 115462 2070 1.83 29895 981 24 2.51 0.85
Greece 114568 1383 1.22 42058 2902 98 3.50 2.53
Ethiopia 112740 649 0.58 10419 1745 11 0.63 1.55
Honduras 109960 200 0.18 7405 2941 3 0.10 2.67
Venezuela 104177 300 0.29 7244 916 3 0.33 0.88
Tunisia 102991 1091 1.07 23652 3526 45 1.29 3.42

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
California 1337941 27634 2.11 314874 19870 136 0.69 1.49 33861.45 502.88 1 in 30
Texas 1311643 12174 0.94 245785 23055 230 1.01 1.76 45235.49 795.11 1 in 22
Florida 1049638 10431 1.00 174542 19084 90 0.47 1.82 48870.98 888.55 1 in 20
Illinois 779975 9887 1.28 216990 14016 234 1.70 1.80 61551.93 1106.08 1 in 16
New York 696125 10761 1.57 139574 34900 70 0.20 5.01 35783.94 1794.02 1 in 28
Georgia 499371 5017 1.01 76466 9793 68 0.70 1.96 47033.16 922.35 1 in 21
Ohio 467432 10469 2.29 177189 6946 64 0.93 1.49 39988.71 594.23 1 in 25
Wisconsin 437918 5711 1.32 114314 3934 92 2.39 0.90 75212.19 675.66 1 in 13
Michigan 426576 6308 1.50 150784 10321 204 2.02 2.42 42713.74 1033.46 1 in 23
Pennsylvania 415635 11114 2.75 151413 11191 139 1.26 2.69 32466.44 874.16 1 in 31
Tennessee 397522 4914 1.25 92402 4905 29 0.59 1.23 58175.31 717.82 1 in 17
North Carolina 388552 6018 1.57 79434 5516 49 0.90 1.42 37047.00 525.93 1 in 27
Indiana 375019 7690 2.09 130132 6207 85 1.39 1.66 55705.11 921.98 1 in 18
New Jersey 361986 5324 1.49 87250 17306 51 0.30 4.78 40754.14 1948.39 1 in 25
Arizona 358900 6799 1.93 85847 6925 40 0.58 1.93 47131.33 909.40 1 in 21
Minnesota 345281 6308 1.86 129253 3979 75 1.92 1.15 61224.03 705.54 1 in 16
Missouri 325588 5116 1.60 81826 4276 60 1.42 1.31 53049.58 696.71 1 in 19
Alabama 267589 3390 1.28 51746 3877 46 1.20 1.45 54574.53 790.71 1 in 18
Colorado 257347 5125 2.03 98113 3357 19 0.57 1.30 44688.11 582.94 1 in 22
Massachusetts 252017 5619 2.28 65875 10953 43 0.39 4.35 36264.03 1576.08 1 in 28
Virginia 251173 3793 1.53 50374 4197 37 0.89 1.67 29426.80 491.71 1 in 34
Louisiana 247177 0 0.00 45196 6548 0 0.00 2.65 53170.13 1408.54 1 in 19
Iowa 243385 1854 0.77 59830 2682 17 0.64 1.10 77140.92 850.06 1 in 13
South Carolina 229235 3222 1.43 35221 4517 21 0.47 1.97 44522.77 877.31 1 in 22
Oklahoma 213245 4370 2.09 63040 1874 14 0.75 0.88 53890.97 473.59 1 in 19
Utah 212844 3674 1.76 61703 939 14 1.51 0.44 66390.14 292.89 1 in 15
Maryland 212384 3193 1.53 48294 4820 30 0.63 2.27 35129.88 797.26 1 in 28
Kentucky 198064 3872 1.99 61927 2062 23 1.13 1.04 44332.70 461.54 1 in 23
Washington 175793 1503 0.86 48062 2925 0 0.00 1.66 23085.42 384.12 1 in 43
Kansas 171363 217 0.13 53840 1786 0 0.00 1.04 58820.64 613.05 1 in 17
Arkansas 169382 2245 1.34 37216 2620 34 1.31 1.55 56127.18 868.17 1 in 18
Nevada 165628 3194 1.97 46622 2301 29 1.28 1.39 53772.60 747.04 1 in 19
Mississippi 163458 1942 1.20 30118 3949 33 0.84 2.42 54922.65 1326.88 1 in 18
Nebraska 138568 2243 1.65 41734 1194 8 0.67 0.86 71633.29 617.24 1 in 14
Connecticut 127715 0 0.00 39070 5146 0 0.00 4.03 35821.80 1443.36 1 in 28
Idaho 109705 1339 1.24 28388 1032 0 0.00 0.94 61217.09 575.87 1 in 16
New Mexico 106856 1921 1.83 43685 1738 32 1.88 1.63 50960.76 828.87 1 in 20
South Dakota 85304 906 1.07 21122 1091 27 2.54 1.28 96425.85 1233.24 1 in 10
Oregon 83243 1806 2.22 27225 1027 24 2.39 1.23 19736.41 243.50 1 in 51
North Dakota 82504 555 0.68 19632 1013 18 1.81 1.23 108264.16 1329.29 1 in 9
Montana 67069 633 0.95 21183 734 7 0.96 1.09 62752.98 686.77 1 in 16
Rhode Island 62137 0 0.00 20608 1413 0 0.00 2.27 58655.17 1333.82 1 in 17
Puerto Rico 55532 935 1.71 13760 1185 12 1.02 2.13 17388.02 371.04 1 in 58
West Virginia 53572 1400 2.68 20780 829 30 3.75 1.55 29976.27 463.87 1 in 33
Delaware 39096 698 1.82 10701 782 0 0.00 2.00 40149.36 803.07 1 in 25
Alaska 36271 946 2.68 13118 143 1 0.70 0.39 49581.37 195.48 1 in 20
Wyoming 35866 189 0.53 13985 266 0 0.00 0.74 61970.53 459.60 1 in 16
New Hampshire 24232 457 1.92 9911 559 7 1.27 2.31 17821.43 411.12 1 in 56
District of Columbia 22872 392 1.74 4058 695 2 0.29 3.04 32408.12 984.77 1 in 31
Hawaii 18738 133 0.71 1979 261 5 1.95 1.39 13234.25 184.34 1 in 76
Maine 13127 283 2.20 4336 227 3 1.34 1.73 9765.57 168.87 1 in 102
Vermont 4894 131 2.75 2051 79 2 2.60 1.61 7843.09 126.60 1 in 128

US Tested- Confirmed Funnel (All States)

State Level Figures

State Tested Confirmed ConfirmationRate TestedinPast21Days ConfirmedinPast21Days ConfirmationRateForPast21Days TestsPerMillPopl
1 California 24901975 1337941 5.37 4230379 314874 7.44 630234.7
2 Texas 11242753 1311643 11.67 2007371 245785 12.24 387736.2
3 Florida 12986939 1049638 8.08 6431987 174542 2.71 604669.8
4 Illinois 11021676 779975 7.08 2035666 216990 10.66 869778.4
5 New York 20388862 696125 3.41 3769786 139574 3.70 1048078.7
6 Georgia 4466200 499371 11.18 600261 76466 12.74 420648.2
7 Ohio 6416665 467432 7.28 1221650 177189 14.50 548944.3
8 Wisconsin 4595523 437918 9.53 773116 114314 14.79 789278.7
9 Michigan 6965058 426576 6.12 1272474 150784 11.85 697422.4
10 Pennsylvania 3323124 415635 12.51 525039 151413 28.84 259578.7
11 Tennessee 4675056 397522 8.50 620755 92402 14.89 684170.5
12 North Carolina 5546614 388552 7.01 955089 79434 8.32 528849.1
13 Indiana 4525760 375019 8.29 1043015 130132 12.48 672253.8
14 New Jersey 6280783 361986 5.76 1070056 87250 8.15 707121.0
15 Arizona 2349913 358900 15.27 388499 85847 22.10 308594.4
16 Minnesota 4370635 345281 7.90 1068136 129253 12.10 774985.8
17 Missouri 3173989 325588 10.26 404904 81826 20.21 517153.0
18 Alabama 1637161 267589 16.34 184006 51746 28.12 333897.5
19 Colorado 3442114 257347 7.48 998515 98113 9.83 597720.4
20 Massachusetts 8880813 252017 2.84 1683718 65875 3.91 1277906.2
21 Virginia 3436348 251173 7.31 549346 50374 9.17 402593.9
22 Louisiana 3566534 247177 6.93 574066 45196 7.87 767195.5
23 Iowa 1094502 243385 22.24 114616 59830 52.20 346902.6
24 South Carolina 2503921 229235 9.16 431781 35221 8.16 486319.7
25 Oklahoma 2222074 213245 9.60 418270 63040 15.07 561559.3
26 Utah 1907788 212844 11.16 319034 61703 19.34 595075.8
27 Maryland 4637128 212384 4.58 805969 48294 5.99 767015.1
28 Kentucky 2732005 198064 7.25 537907 61927 11.51 611505.1
29 Washington 3120146 175793 5.63 398059 48062 12.07 409742.6
30 Kansas 845186 171363 20.28 138399 53840 38.90 290111.5
31 Arkansas 1748446 169382 9.69 264582 37216 14.07 579372.9
32 Nevada 1718547 165628 9.64 305094 46622 15.28 557941.6
33 Mississippi 1145853 163458 14.27 138650 30118 21.72 385012.0
34 Nebraska 1435777 138568 9.65 318518 41734 13.10 742230.7
35 Connecticut 3422098 127715 3.73 715431 39070 5.46 959838.0
36 Idaho 487460 109705 22.51 63045 28388 45.03 272010.2
37 New Mexico 1634917 106856 6.54 286723 43685 15.24 779709.3
38 South Dakota 338369 85304 25.21 46546 21122 45.38 382485.2
39 Oregon 2088860 83243 3.99 1137295 27225 2.39 495256.1
40 North Dakota 1125121 82504 7.33 169646 19632 11.57 1476416.6
41 Montana 682583 67069 9.83 112889 21183 18.76 638657.4
42 Rhode Island 1608848 62137 3.86 293465 20608 7.02 1518696.6
44 West Virginia 1215319 53572 4.41 299663 20780 6.93 680033.0
45 Delaware 769818 39096 5.08 153371 10701 6.98 790559.1
46 Alaska 1067231 36271 3.40 204967 13118 6.40 1458872.7
47 Wyoming 417627 35866 8.59 265538 13985 5.27 721590.5
48 New Hampshire 854085 24232 2.84 163726 9911 6.05 628137.2
49 District of Columbia 727387 22872 3.14 144068 4058 2.82 1030659.6
50 Hawaii 695177 18738 2.70 105380 1979 1.88 490988.6
51 Maine 913959 13127 1.44 179397 4336 2.42 679921.8
52 Vermont 578009 4894 0.85 109975 2051 1.86 926312.8

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 4253306 426696 3148 0.74 10.03 6554 805 115756 22884 5.36
Piemonte 1655759 176519 1456 0.83 10.66 4276 366 66763 6568 3.72
Campania 1677237 163741 1521 0.94 9.76 1558 165 101361 1958 1.20
Veneto 2870960 161805 3607 2.28 5.64 2489 312 74958 4173 2.58
Emilia-Romagna 2211300 131973 1964 1.51 5.97 2707 243 69629 6074 4.60
Lazio 2332438 128623 1783 1.41 5.51 3075 349 93479 2608 2.03
Toscana 1633330 107644 769 0.72 6.59 1373 261 30544 2839 2.64
Sicilia 1013714 70467 1240 1.79 6.95 1400 215 39540 1723 2.45
Puglia 832380 62552 1884 3.11 7.51 1576 220 44160 1688 2.70
Liguria 622736 53475 314 0.59 8.59 897 93 10518 2501 4.68
Friuli Venezia Giulia 762058 34765 755 2.22 4.56 640 58 15064 1008 2.90
Marche 429447 31950 418 1.33 7.44 506 84 19698 1314 4.11
Abruzzo 433771 29980 376 1.27 6.91 675 73 17247 969 3.23
P.A. Bolzano 321387 25113 266 1.07 7.81 410 31 11112 572 2.28
Umbria 435623 24910 226 0.92 5.72 330 61 6149 451 1.81
Sardegna 393050 23893 464 1.98 6.08 607 67 14857 524 2.19
Calabria 378383 18197 306 1.71 4.81 379 29 10662 339 1.86
P.A. Trento 392649 16887 226 1.36 4.30 404 48 2519 689 4.08
Basilicata 159770 8859 131 1.50 5.54 134 19 6412 169 1.91
Valle d’Aosta 55696 6692 46 0.69 12.02 107 9 1056 330 4.93
Molise 97120 5250 152 2.98 5.41 61 9 2685 133 2.53

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Quebec 149908 2031 1.37 7231 48 0.67 4.82 17558.41 846.95 1 in 57
Ontario 128997 1867 1.47 3774 15 0.40 2.93 8768.25 256.53 1 in 114
Alberta 66730 1879 2.90 596 6 1.02 0.89 15120.73 135.05 1 in 66
British Columbia 36132 0 0.00 492 0 0.00 1.36 7069.57 96.26 1 in 141
Manitoba 18423 354 1.96 381 19 5.25 2.07 13374.06 276.58 1 in 75
Saskatchewan 9730 203 2.13 55 0 0.00 0.57 8234.14 46.54 1 in 121
Nova Scotia 1364 6 0.44 65 0 0.00 4.77 1395.46 66.50 1 in 717
New Brunswick 530 2 0.38 7 0 0.00 1.32 679.49 8.97 1 in 1472
Newfoundland and Labrador 347 4 1.17 4 0 0.00 1.15 665.56 7.67 1 in 1502
Nunavut 214 8 3.88 0 0 NaN 0.00 NA NA 1 in NA
Prince Edward Island 73 0 0.00 0 0 NaN 0.00 461.56 0.00 1 in 2167
Yukon 54 0 0.00 1 0 0.00 1.85 1314.57 24.34 1 in 761
Northwest Territories 15 0 0.00 0 0 NaN 0.00 334.05 0.00 1 in 2994
Repatriated Travellers 13 0 0.00 0 0 NaN 0.00 NA NA 1 in NA

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Deaths)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 44563.99 859.37 1 in 22
India 7202.56 104.69 1 in 139
Brazil 31424.64 843.90 1 in 32
Russia 16681.40 292.24 1 in 60
France 34850.37 822.11 1 in 29
United Kingdom 25743.21 919.79 1 in 39
Italy 28273.66 984.03 1 in 35
Spain 36104.74 991.26 1 in 28
Argentina 32975.65 895.23 1 in 30
Colombia 27761.34 766.92 1 in 36
Germany 14296.90 227.55 1 in 70
Mexico 9043.30 847.18 1 in 111
Poland 27758.64 522.93 1 in 36
Iran 12678.49 616.26 1 in 79
Peru 30179.05 1125.12 1 in 33
Ukraine NA NA 1 in NA
South Africa 14288.59 389.05 1 in 70
Turkey 9873.69 181.97 1 in 101
Belgium 51749.30 1513.51 1 in 19
Indonesia 2157.98 66.62 1 in 463

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 30 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 100 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
Los Angeles California 439408 7886 1.79
Cook Illinois 325813 6922 2.12
Miami-Dade Florida 241051 3896 1.62
Maricopa Arizona 225782 4131 1.83
Harris Texas 196658 3060 1.56
Dallas Texas 146320 1658 1.13
Clark Nevada 126066 1850 1.47
Broward Florida 112729 1694 1.50
Tarrant Texas 108480 1094 1.01
San Bernardino California 103911 1175 1.13
Riverside California 95255 1472 1.55
Queens New York 94584 7373 7.80
Kings New York 93508 7526 8.05
San Diego California 90468 1055 1.17
El Paso Texas 89540 1220 1.36
Salt Lake Utah 86339 427 0.49
Bexar Texas 85895 1536 1.79
Orange California 84853 1618 1.91
Milwaukee Wisconsin 77390 788 1.02
Hennepin Minnesota 72366 1161 1.60
Philadelphia Pennsylvania 72314 2033 2.81
Wayne Michigan 70231 3311 4.71
Palm Beach Florida 68381 1724 2.52
Bronx New York 66682 5031 7.54
Suffolk New York 65993 2072 3.14
Nassau New York 64359 2269 3.53
Orange Florida 61030 656 1.07
Hillsborough Florida 60761 959 1.58
Franklin Ohio 59137 680 1.15
St. Louis Missouri 55278 1098 1.99
Westchester New York 53944 1527 2.83
Utah Utah 52848 154 0.29
Middlesex Massachusetts 51310 2455 4.78
Marion Indiana 50887 909 1.79
Shelby Tennessee 50688 701 1.38
Oakland Michigan 50593 1414 2.79
DuPage Illinois 49976 844 1.69
New York New York 47994 3235 6.74
King Washington 47032 914 1.94
Duval Florida 46606 637 1.37
Mecklenburg North Carolina 46199 467 1.01
Davidson Tennessee 45733 435 0.95
Cuyahoga Ohio 45412 783 1.72
Hidalgo Texas 45387 2090 4.60
Pima Arizona 43930 730 1.66
Oklahoma Oklahoma 43884 321 0.73
Kern California 43860 455 1.04
Douglas Nebraska 43779 384 0.88
Prince George’s Maryland 43635 949 2.17
Fulton Georgia 43169 723 1.67
Gwinnett Georgia 42427 550 1.30
Will Illinois 42380 614 1.45
Fairfield Connecticut 41535 1545 3.72
Macomb Michigan 41276 1336 3.24
Sacramento California 41096 614 1.49
Jefferson Kentucky 40383 468 1.16
Providence Rhode Island 40206 1060 2.64
Fresno California 40108 506 1.26
Suffolk Massachusetts 40045 1273 3.18
Lake Illinois 39927 675 1.69
Travis Texas 39925 494 1.24
Essex Massachusetts 39369 1485 3.77
Denver Colorado 39327 546 1.39
Santa Clara California 38388 503 1.31
Essex New Jersey 37736 2259 5.99
Bergen New Jersey 37350 2165 5.80
Hamilton Ohio 36289 382 1.05
Kent Michigan 36183 400 1.11
Jefferson Alabama 36002 519 1.44
Tulsa Oklahoma 35857 286 0.80
Polk Iowa 35702 353 0.99
Montgomery Maryland 35538 980 2.76
Pinellas Florida 34603 924 2.67
Kane Illinois 34125 497 1.46
Lubbock Texas 34074 400 1.17
Hudson New Jersey 33842 1605 4.74
Middlesex New Jersey 33016 1512 4.58
New Haven Connecticut 32843 1291 3.93
Allegheny Pennsylvania 32651 564 1.73
Fairfax Virginia 32579 626 1.92
Passaic New Jersey 32315 1337 4.14
Adams Colorado 32044 371 1.16
Cobb Georgia 31984 520 1.63
Lee Florida 31897 598 1.87
Alameda California 31871 522 1.64
Lake Indiana 31538 493 1.56
Baltimore Maryland 31077 764 2.46
Wake North Carolina 31029 304 0.98
Hartford Connecticut 30879 1630 5.28
El Paso Colorado 30761 329 1.07
Ramsey Minnesota 30434 535 1.76
Waukesha Wisconsin 30414 243 0.80
Bernalillo New Mexico 29958 381 1.27
Dane Wisconsin 29868 107 0.36
Union New Jersey 29831 1450 4.86
Arapahoe Colorado 29769 456 1.53
Sedgwick Kansas 29764 172 0.58
Johnson Kansas 29272 304 1.04
DeKalb Georgia 29265 480 1.64
Polk Florida 28918 700 2.42

Overall US Choropleth Map

Choropleths are an ideal way to visualize the past/ current COVID-19 hotspots within a country. The below were the overall (not current) hotspots in the US.

County level COVID-19 Confirmations Map

Canada Detailed Province Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Epidemic Curve: Delta in Confirmed Cases in Canadian Provinces

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in Canadian Provinces

Number of Deaths in the past 24 hrs

Data Sources

Github Repo: CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc